ANALYZING PRESENT AND FUTURE CONNECTIONS BETWEEN FARM MANAGEMENT AND PERFORMANCE: COMPARATIVE STUDY USING STATISTICAL METHODS AND SUPERVISED LEARNING

The determination of the influences of the management on the economic performance of an agricultural holding can be an important process for the farm manager, as a source of information which can consist in a valuable component needed in the decisional process. In this matter, the analysis is useful...

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Main Authors: Victor-Dumitrel TIȚA, Daniel NIJLOVEANU, Doru Anastasiu POPESCU, Nicolae BOLD
Format: Article
Language:English
Published: University of Agricultural Sciences and Veterinary Medicine, Bucharest 2023-01-01
Series:Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development
Online Access:https://managementjournal.usamv.ro/pdf/vol.23_2/Art77.pdf
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author Victor-Dumitrel TIȚA
Daniel NIJLOVEANU
Doru Anastasiu POPESCU
Nicolae BOLD
author_facet Victor-Dumitrel TIȚA
Daniel NIJLOVEANU
Doru Anastasiu POPESCU
Nicolae BOLD
author_sort Victor-Dumitrel TIȚA
collection DOAJ
description The determination of the influences of the management on the economic performance of an agricultural holding can be an important process for the farm manager, as a source of information which can consist in a valuable component needed in the decisional process. In this matter, the analysis is useful during a specific period of time, which also comprises future predictions. In this paper, we will present a study of the connection between the farm management approach, represented by several characteristics of the farm and the farmer, and the farm economic performance, represented by the financial result of the farm activity. This study is presented as a comparative analysis of two methods that establish the existence and intensity of the mentioned connection, the first one being based on statistical methods and instruments and the second one being based on machine-learning based tools, specifically supervised learning. This study aims to find alternative means of studying causal implications of the management type on the economic activity within a farm, based on digital-based tools. The obtained results for the mentioned research showed that the methods based on supervised learning can be an important tool of analysis, being complementary with the traditional statistical methods regarding the analysis of the microeconomic agricultural environment and performance, providing supplementary key data regarding the economic indicators.
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language English
publishDate 2023-01-01
publisher University of Agricultural Sciences and Veterinary Medicine, Bucharest
record_format Article
series Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development
spelling doaj-art-f2cf0d7b2d854075ab1e6925d321178f2025-08-20T02:40:23ZengUniversity of Agricultural Sciences and Veterinary Medicine, BucharestScientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development2284-79952285-39522023-01-01232701708748ANALYZING PRESENT AND FUTURE CONNECTIONS BETWEEN FARM MANAGEMENT AND PERFORMANCE: COMPARATIVE STUDY USING STATISTICAL METHODS AND SUPERVISED LEARNINGVictor-Dumitrel TIȚADaniel NIJLOVEANUDoru Anastasiu POPESCUNicolae BOLDThe determination of the influences of the management on the economic performance of an agricultural holding can be an important process for the farm manager, as a source of information which can consist in a valuable component needed in the decisional process. In this matter, the analysis is useful during a specific period of time, which also comprises future predictions. In this paper, we will present a study of the connection between the farm management approach, represented by several characteristics of the farm and the farmer, and the farm economic performance, represented by the financial result of the farm activity. This study is presented as a comparative analysis of two methods that establish the existence and intensity of the mentioned connection, the first one being based on statistical methods and instruments and the second one being based on machine-learning based tools, specifically supervised learning. This study aims to find alternative means of studying causal implications of the management type on the economic activity within a farm, based on digital-based tools. The obtained results for the mentioned research showed that the methods based on supervised learning can be an important tool of analysis, being complementary with the traditional statistical methods regarding the analysis of the microeconomic agricultural environment and performance, providing supplementary key data regarding the economic indicators.https://managementjournal.usamv.ro/pdf/vol.23_2/Art77.pdf
spellingShingle Victor-Dumitrel TIȚA
Daniel NIJLOVEANU
Doru Anastasiu POPESCU
Nicolae BOLD
ANALYZING PRESENT AND FUTURE CONNECTIONS BETWEEN FARM MANAGEMENT AND PERFORMANCE: COMPARATIVE STUDY USING STATISTICAL METHODS AND SUPERVISED LEARNING
Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development
title ANALYZING PRESENT AND FUTURE CONNECTIONS BETWEEN FARM MANAGEMENT AND PERFORMANCE: COMPARATIVE STUDY USING STATISTICAL METHODS AND SUPERVISED LEARNING
title_full ANALYZING PRESENT AND FUTURE CONNECTIONS BETWEEN FARM MANAGEMENT AND PERFORMANCE: COMPARATIVE STUDY USING STATISTICAL METHODS AND SUPERVISED LEARNING
title_fullStr ANALYZING PRESENT AND FUTURE CONNECTIONS BETWEEN FARM MANAGEMENT AND PERFORMANCE: COMPARATIVE STUDY USING STATISTICAL METHODS AND SUPERVISED LEARNING
title_full_unstemmed ANALYZING PRESENT AND FUTURE CONNECTIONS BETWEEN FARM MANAGEMENT AND PERFORMANCE: COMPARATIVE STUDY USING STATISTICAL METHODS AND SUPERVISED LEARNING
title_short ANALYZING PRESENT AND FUTURE CONNECTIONS BETWEEN FARM MANAGEMENT AND PERFORMANCE: COMPARATIVE STUDY USING STATISTICAL METHODS AND SUPERVISED LEARNING
title_sort analyzing present and future connections between farm management and performance comparative study using statistical methods and supervised learning
url https://managementjournal.usamv.ro/pdf/vol.23_2/Art77.pdf
work_keys_str_mv AT victordumitreltita analyzingpresentandfutureconnectionsbetweenfarmmanagementandperformancecomparativestudyusingstatisticalmethodsandsupervisedlearning
AT danielnijloveanu analyzingpresentandfutureconnectionsbetweenfarmmanagementandperformancecomparativestudyusingstatisticalmethodsandsupervisedlearning
AT doruanastasiupopescu analyzingpresentandfutureconnectionsbetweenfarmmanagementandperformancecomparativestudyusingstatisticalmethodsandsupervisedlearning
AT nicolaebold analyzingpresentandfutureconnectionsbetweenfarmmanagementandperformancecomparativestudyusingstatisticalmethodsandsupervisedlearning